Edge intelligence in softwarized 6G: Deep learning-enabled network traffic predictions

S Zeb, MA Rathore, A Mahmood… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The 6G vision is envisaged to enable agile network expansion and rapid deployment of new
on-demand microservices (eg, visibility services for data traffic management, mobile edge …

Channel feedback in TDD massive MIMO systems with partial reciprocity

J Tan, L Dai - IEEE Transactions on Vehicular Technology, 2021 - ieeexplore.ieee.org
It is widely believed that the channel reciprocity holds in time division duplexing (TDD)
massive multiple-input multiple-output (MIMO) systems, so the uplink channel feedback is …

Py5cheSim: a 5G multi-slice cell capacity simulator

G Pereyra, C Rattaro… - 2021 XLVII Latin American …, 2021 - ieeexplore.ieee.org
The fifth generation of mobile communications (5G) is the new 3GPP technology designed to
solve a wide range of requirements. On the one hand, it must be able to support high bit …

Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Networks

M Umar Bin Farooq - 2021 - shareok.org
Densification and multi-band operation means inter-frequency handovers can become a
bottleneck for mobile user experience in emerging cellular networks. The challenge is …

Mobility management in multi-RAT multiI-band heterogeneous networks

SMA Zaidi - 2021 - shareok.org
Support for user mobility is the raison d'etre of mobile cellular networks. However, mounting
pressure for more capacity is leading to adaption of multi-band multi-RAT ultra-dense …

[PDF][PDF] Інтелектуальне автоматизоване управління децентралізованими системами мобільного зв'язку

ТА Максимюк - 2021 - lpnu.ua
В дисертаційній роботі вирішено науково-прикладну проблему розроблення методів,
моделей та засобів інтелектуального управління децентралізованою …

[引用][C] Scheduling in 5G networks: Developing a 5G cell capacity simulator.

G Pereyra - 2021 - Udelar. FI.